MétaCan
Menu
Back to cohort
Record W6997134748

Ukrainian oral speech of modern youth in Ukraine and abroad: unsteady norms of pronunciation

2017· article· en· W6997134748 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPronunciationDiphthongBulgarianPhilologySubject (documents)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The article is devoted to the Ukrainian oral speech at the synchronic level, in particular, to the spoken features of the Ukrainian language. On the basis of a sociolinguistic survey, the attempt to reveal, analyze, and describe the deviations that appear as a result of violations of unstable pronouncing norms has been made, in particular, hushing sounds before sibilants and vice versa. Additionally, the coronal consonant [d] is considered before sibilants depending on the sphere of activity of the respondents and their living environment.The object of our research is the Ukrainian pronunciation of young philologists in Ukraine and of the youth of various professions in Transnistria, Moldova, and Canada.The subject of the research is the usage of the pronouncing norms of the modern Ukrainian language, in particular the sound combination (hushing sounds before sibilants, sibilants before hushing sounds and the transformation of coronal [d],[d'] in affricates before hushing sounds and sibilants).The sociolinguistic (social surveys), descriptive, comparative methods, and the intake of quantitative calculations through which the material is collected, recorded, and analyzed have been used in our research.The predecessors who studied certain issues (first of all, in social and phonetic description of Ukrainian speech) are N.I. Tots’kа, L.I. Prokopova [13], and M.M. Fashchenko [14].The survey was conducted among the students of the Philological Department of the Bulgarian and Ukrainian branches of I.I. Mechnikov National University of Odessa. In addition, the Ukrainian students of different courses and faculties of T. Shevchenko Transnistrian State University (Tiraspol, Transnistria), Alec Russo Balti State University (Moldova), and the youth of various spheres in Canada (Toronto) took part in the survey. On the basis of social survey (which was recorded on an audio medium), stable and weak norms of pronunciation are singled out. Moreover, the important verbal problems and their similarities are indicated.Thus, the norms of pronunciation are closely linked to the field of activity of the youth: philologists make twice less mistakes than other students do.The modern youth of Transnistria, Moldova, Ukraine, and Canada showed the correct pronunciation of hushing sounds before sibilants, and vice versa, in particular, Transnistrian students possess the norms of pronouncing sibilants before hushing sounds (74%), hushing sounds before sibilants (66%), but difficulties appear when pronouncing coronal [d] before hushing sounds and sibilants. The last rule is used only by the students of philological department of Ukrainian language and literature, therefore, we treat it as the most frequently violated. The same rules of pronunciation of sound combinations (which are not fixed by the current norms of pronouncing, but were recorded for a long time in writing in the 19th century) are the most stable in oral speech. The same pronouncing peculiarities of sound combinations, which were not recorded in literature works or were recorded occasionally, belong to unstable ones, even though they have become the pronouncing norm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.107
GPT teacher head0.333
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogySame topicLinguistics, Language Diversity, and IdentityFrench-language works237,207